iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3095
Single Precision Score
14824
Half Precision Score
14420
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 07 2025 03:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1302
242.2 IPS |
|
|
Image Classification (HP)
|
100% |
6154
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5846
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8880
144.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9224
149.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6028
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
67476
78.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
64851
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.2 IPS |
|
|
Object Detection (HP)
|
99% |
6833
543.5 IPS |
|
|
Object Detection (Q)
|
91% |
6259
500.1 IPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
14121
167.8 IPS |
|
|
Face Detection (Q)
|
100% |
13014
154.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5474
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
43276
333.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
43264
338.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16491
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119758
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
112948
145.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3451
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23808
879.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23957
884.6 IPS |
|
|
Text Classification (SP)
|
100% |
2401
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4153
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4113
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2483
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2812
48.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2835
49.0 IPS |
